xAI · Model guide

Grok Build 0.1

Q: What is Grok Build 0.1?

Grok Build 0.1 is available on CrossModel as x-ai/grok-build-0.1. It has a 256K-token context window and can return up to 256K tokens per request.

Q: How much does Grok Build 0.1 cost?

Currently $ 1.00 per 1M input tokens and $ 2.00 per 1M output tokens. Cached input is billed at $ 0.20 per 1M.

Q: Does Grok Build 0.1 support tool calling and structured output?

Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported

Q: Which endpoint do I call?

For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.

Q: Can I try it without writing code?

Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Compare

x-ai/grok-build-0.1

A fast coding model trained for agentic software-engineering loops. It is designed for web development, debugging, MCP-enabled workflows and interactive coding harnesses.

Modalities

Context

256K

Max output

256K

Price / 1M tokens

$ 1.00in$ 2.00out

StreamingTool callingJSON outputImage inputThinking mode

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorA coding model specifically trained for agentic coding tasks.source

Best for

Fast coding agents · Built for agent harnesses, debugging, web development and MCP workflows.(vendor claim)source
Interactive edit loops · xAI positions the model as its fast coding option for interactive harnesses.(vendor claim)source

Neighbouring models

x-ai/grok-4.5stronger —Use Grok 4.5 when maximum coding capability matters more than specialization for speed.

Compare them side by side →

Pricing and billing

Tiered pricing: the rate changes once the input passes the threshold.

Price / 1M tokens by input size	Input < 200.0K	Input ≥ 200.0K
Input	$ 1.00	$ 2.00
Output	$ 2.00	$ 4.00
Cache read	$ 0.20	$ 0.40
Cache write	$ 1.00	$ 2.00

Estimate a request

Input tokens10,000

Output tokens2,000

Cache hit rate0%

At this input size you are on the Input < 200.0K tier.

$ 0.0140

Estimated cost per request

10.0K × $ 1.00
+ 2.0K × $ 2.00

≈ $ 14.00 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window: 256.0K tokens
Max output: 256.0K tokens
Input / output modalities: Text + Image → Text
Streaming: Supported
Tool calling: Supported
Structured output (JSON): Supported
Image input: Supported
Thinking mode: Supported· always on
Available endpoints: /v1/chat/completions · /v1/responses · /v1/messages

First-party sources:Specsdocs.x.ai 1 x.ai 2Capabilitiesdocs.x.ai

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Agentic coding

Terminal-Bench 2.1
pass_rate·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立运行；评测对象是 0616 快照，不可与厂商或其他 harness 的成绩直接互换。
52.1%

Coding

SciCode
score·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立评测；评测对象是 0616 快照。
50.2%

Knowledge work

GDPval-AA v2
elo·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立评测；记录页面展示的原始 Elo，评测对象是 0616 快照。
1215.1

Long context

AA-LCR
score·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立长上下文推理评测；评测对象是 0616 快照。
70%

Reasoning

AA Intelligence Index v4.1.1
score·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立评测的九项复合指数，不是百分比；评测对象是 Grok Build 0.1 的 0616 快照，来源页未披露各项完整可复现设置。
40.7
Humanity's Last Exam
accuracy·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立评测；评测对象是 0616 快照。
38.3%

Scientific reasoning

CritPt
score·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立物理推理评测；评测对象是 0616 快照。
9.1%
GPQA Diamond
accuracy·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立评测；评测对象是 0616 快照。
89.5%

Tool use

tau3-Banking
score·Artificial Analysis · 2026-08-13enabledsetup not fully disclosed
Artificial Analysis 独立评测；评测对象是 0616 快照。
13.4%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

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Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

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Frequently asked questions

What is Grok Build 0.1?

Grok Build 0.1 is available on CrossModel as x-ai/grok-build-0.1. It has a 256K-token context window and can return up to 256K tokens per request.

How much does Grok Build 0.1 cost?

Currently $ 1.00 per 1M input tokens and $ 2.00 per 1M output tokens. Cached input is billed at $ 0.20 per 1M.

Does Grok Build 0.1 support tool calling and structured output?

Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported

Which endpoint do I call?

For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.

Can I try it without writing code?